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Mapping cultural ecosystem services in mountain forests using mobile phone data

Journal of Mountain Science 2023年第12期20卷 3437-3449页

作者： CIESIELSKI Mariusz KAMINSKA Agnieszka Department of Geomatics Forest Research InstituteSękocin StaryBraci leśnej 305-090Poland

The aim of the work was to determine the spatial distribution of activity in the forest on the area of the Forest Promotional Complex“Sudety Zachodnie”using mobile phone *** study identified the sites with the highest(hot spot)and lowest(cold spot)***,stand,demographic,topographic and spatial factors affecting the distribution of activity were also *** approaches were applied in our research:global and local Moran’s coefficients,and a machine learning technique,Boosted Regression *** results show that 11,503,320 visits to forest areas were recorded in the“Sudety Zachodnie”in *** most popular season for activities was winter,and the least popular was *** global and local Moran’s I coefficients,three small hot clusters of activity and one large cold cluster were *** with high values with similar neighbours(hot-spots)were most often visited forest areas,averaging almost 200,000 visits over *** fewer visits were recorded in cold-spots,the average number of visits to these areas was about 4,*** value of global Moran’s I was equal to 0.54 and proved significant positive spatial *** of Boosted Regression Trees modeling of visits in forest,using tree stand habitat and spatial factors accurately explained 76%of randomly selected input *** variables that had the greatest effect on the distribution of activities were the density of hiking and biking trails and diversity of *** methodology presented in this article allows delineation of Cultural Ecosystem Services hot spots in forest areas based on mobile phone *** also allows the identification of factors that may influence the distribution of visits in *** data are important for managing forest areas and adapting forest management to the needs of society while maintaining ecosystem stability.

关键词： Ecosystem services Big data traffic research Monitoring Forests

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